HeartSaVioR commented on code in PR #49488:
URL: https://github.com/apache/spark/pull/49488#discussion_r1948008795
##########
sql/connect/common/src/main/scala/org/apache/spark/sql/connect/KeyValueGroupedDataset.scala:
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@@ -526,6 +553,71 @@ private class KeyValueGroupedDatasetImpl[K, V, IK, IV](
}
}
+ override protected[sql] def transformWithStateHelper[U: Encoder, S: Encoder](
+ statefulProcessor: StatefulProcessor[K, V, U],
+ timeMode: TimeMode,
+ outputMode: OutputMode,
+ initialState: Option[sql.KeyValueGroupedDataset[K, S]] = None,
+ eventTimeColumnName: String = ""): Dataset[U] = {
+ val outputEncoder = agnosticEncoderFor[U]
+ val stateEncoder = agnosticEncoderFor[S]
+
+ val inputEncoders: Seq[AgnosticEncoder[_]] = Seq(kEncoder, stateEncoder,
ivEncoder)
+ val dummyGroupingFunc = SparkUserDefinedFunction(
+ function = UdfUtils.noOp[K, U](),
+ inputEncoders = inputEncoders,
+ outputEncoder = outputEncoder)
+ val udf = toExpr(
+ dummyGroupingFunc.apply(
+ inputEncoders.map(_ => col("*")):
_*)).getCommonInlineUserDefinedFunction
+
+ val initialStateImpl = if (initialState.isDefined) {
+ assert(initialState.get.isInstanceOf[KeyValueGroupedDatasetImpl[K, S, _,
_]])
Review Comment:
That's why I'm asking to see whether this can be triggered by Spark's bug or
users' bug. If this is former, this is not a huge problem as long as we don't
lose debuggability on this (I don't expect users to debug on their own). If
this is latter, this should be definitely classified as error class.
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